Contributed Papers

Longitudinal and Correlated Data Latest Research Topics

Wed, Aug 6, 8:30 AM - 10:20 AM Room CC-102B Music City Center

Biometrics Section

About this session

Presenters in this session will demonstrate a wide variety of tools they have developed or used to handle longitudinal and/or correlated data. These data originate from a variety of different sources like longitudinal studies or data from smart devices.

7 Presentations

A Comparison of Event-Based Change-Point Models Using Novel Cognitive Domain Measures

8:35 AM - 8:50 AM

Co-authors: Megan Hall, Megan Hall, David Fardo (University of Kentucky), Shubhabrata Mukherjee (University of Washington), Christopher McLouth (University of Kentucky), Yuriko Katsumata (University of Kentucky), Jai Broome (University of Washington), Inori Tsuchiya (University of Kentucky)

time-to-event harmonized cognitive scores change-point analysis Alzheimer's dementia mild cognitive impairment

Bayesian Variable Selection for Joint Models of Heterogeneous Longitudinal Variables and a Binary outcome

8:50 AM - 9:05 AM

Co-authors: LINGPENG SHAN (The Ohio State University), Michael Pennell (The Ohio State University), LINGPENG SHAN (The Ohio State University)

Bayesian joint models variable selection interaction Bayesian lasso imputation Bayesian inference

Decomposition of Longitudinal Disparities: an Application to the Fetal Growth-Singletons Study

9:05 AM - 9:20 AM

Co-authors: Seonjin Kim (Miami University), Seonjin Kim (Miami University), Sang Kyu Lee (National Cancer Institute), Mi-Ok Kim (UCSF), Katherine Grantz (Eunice Kennedy Shriver National Institute of Child Health and Human Development), Hyokyoung Hong (NIH)

Disparity Decomposition Analysis The Fetal Growth - Singletons Study Longitudinal Analysis Peters-Belson Approach

Generalized functional linear regression models with measurement and misclassification errors

9:20 AM - 9:35 AM

Co-authors: Ashley Obeng (Indiana University Bloomington), Ashley Obeng (Indiana University Bloomington), Roger S Zoh (Indiana University), Lan Xue (Oregon State University), See Ling Loy (Duke-NUS Medical School), Carmen Tekwe (Indiana University)

Continuous glucose monitor functional logistic regression measurement error nocturnal glucose dip

Incorporating survey weights in tail models for population blood pressure distribution

9:35 AM - 9:50 AM

Co-authors: Zoe Haskell-Craig, Rebecca Betensky (NYU College of Global Public Health), Zoe Haskell-Craig, Yajun Mei (New York University)

extreme value analysis peaks over threshold maximum likelihood estimation survey weights blood pressure

Interrupted time series methods for non-random sampling study designs with known sampling weights

9:50 AM - 10:05 AM

Co-authors: Thuy Lu (University of California, Irvine), Thuy Lu (University of California, Irvine), Joshua Grill (University of California, Irvine), Daniel Gillen (University of California-Irvine), Maricela Cruz (Kaiser Permanente Washington Health Research Institute)

interrupted time series intervention assessment multiple units change point variability sampling weights

Investigation of methods for joint modelling of timing and intensity of accelerometry data

10:05 AM - 10:20 AM

Co-authors: Omkar Khandpekar (Indiana University Bloomington), Omkar Khandpekar (Indiana University Bloomington), Roger Zoh (Indiana University)

Moderate to vigorous physical activity Joint modelling Circular statistics Bayesian Longitudinal data Repeated measures